البنية التحتية التقنية

ترجمة الرابط المختصر

Slug Translation is the practice of localizing the URL path (the part after the domain) into the target language. This optimizes the URL for local search intent and improves click-through rate by making the link readable and relevant to international users.

البنية التحتية التقنية
تحسين محركات البحث
هيكل عنوان URL

URLs are a Ranking Signal

Users trust URLs they can read. A French user seeing "site.com/fr/chaussures-rouges" (red shoes) understands the content immediately and clicks confidently. Seeing "site.com/fr/red-shoes" creates cognitive friction—why is there English in a French URL? Google also uses URL keywords as a minor ranking signal and bolds matching terms in search results. Wikipedia exemplifies this: the article for "Dog" is /wiki/Dog in English and /wiki/Chien in French—every slug is fully localized. The technical challenge is maintaining proper 301 redirects when changing slug structures and ensuring hreflang tags point to the correct localized URLs.

English Slug vs. Translated Slug

جانب
بدون
With Slug
هيكل عنوان URL
English: site.com/es/red-shoes
Translated: site.com/es/zapatos-rojos
User Trust
English: Creates confusion, lowers trust
Translated: Native-looking, builds confidence
Google Display
English: site.com/.../red-shoes (no keyword match)
Translated: site.com/.../zapatos-rojos ✓ (bolded)
CTR Impact
English: 4.2% click-through rate
Translated: 7.8% click-through rate (86% higher)

تأثير العالم الحقيقي

قبل
النهج الحالي
📋 السيناريو

German site keeps English slugs: /produkt/wireless-headphones

⚙️ ما يحدث

Users see mixed German content + English URL

📉
التأثير التجاري

CTR 5.1%, users perceive as auto-translated

بعد
الحل الأمثل
📋 السيناريو

Translate slug: /produkt/kabellose-kopfhoerer

⚙️ ما يحدث

Fully localized experience, URL matches content

📈
التأثير التجاري

CTR jumps to 9.2%, conversions +35%

مستعد لإتقان ترجمة الرابط المختصر?

توفر MultiLipi أدوات على مستوى المؤسسات لترجمة GEO متعددة اللغات، والترجمة العصبية، وحماية العلامة التجارية عبر 120+ لغة وجميع منصات الذكاء الاصطناعي.